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作 者:Chao WANG Shuyuan ZHANG Tianhang MA Yuetong XIAO Michael Zhiqiang CHEN Lei WANG
机构地区:[1]School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China [2]School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China
出 处:《Chinese Journal of Aeronautics》2025年第3期163-182,共20页中国航空学报(英文版)
基 金:co-supported by the National Natural Science Foundation of China(No.61873017);the Academic Excellence Foundation of Beihang University for PhD Students,China.
摘 要:Swarm Intelligence (SI) is a collective behavior that emerges from interaction between individuals in a group. Typical SI includes fish schooling, ant foraging, bird migration, and so on. A great deal of models have been introduced to characterize the mechanism of SI. This article reviews several typical models and classifies them into four categories: self-driven particle models, with Boids model as the primary example;pheromone communication models, including the ant colony pheromone model which serves as the foundation for ant colony optimization;leadership decision models, utilizing the hierarchical dynamics model of pigeon flock as a prime instance;empirical research models, which employ the topological rule model of starling flock as a classic model. On this basis, each type of model is elaborated upon in terms of its typical model overview, applications, and model evaluation. More specifically, multi-agent swarm control, path optimization and obstacle avoidance, formation and consensus control, trajectory tracking in the dense crowd and social networks analysis are surveyed in the application of each category, respectively. Furthermore, the more precise and effective modeling techniques for leadership decision and empirical research models are described. Limitations and potential directions for further exploration in the study of SI are presented.
关 键 词:Swarm intelligence Ant colony optimization Self-driven particle models Pheromone communication models Leadership decision models Empirical research models
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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